Russia's Federal Compulsory Health Insurance Fund to spend 1.9 billion rubles on IT upgrade, including AI to score insured patients' risk

Russia's Federal Compulsory Health Insurance Fund is launching one of the year's largest IT projects in Russian healthcare. For 1.922 billion rubles, the fund plans to deploy new components of the state OMS information system across the regions and test an AI module that calculates risk profiles for insured people.

Where the money goes

The project consists of two tenders published on April 24, 2026. Their starting prices are 985 million and 936 million rubles, for a combined budget of 1.922 billion. Work runs from contract signing through December 21, 2026. The project covers both remote deployment and on-site visits to the regions: territorial OMS funds, health insurance companies, and the clinics themselves. In other words, the fund isn't buying abstract development work — it's paying for a large-scale, nationwide rollout of digital components that have already been designed.

The contracts don't cover a single new platform. Instead, they span several GIS OMS subsystems that handle different jobs, from tracking insured people and medical services to financial oversight and communication with citizens. A separate line item covers a digital medical profile for each patient, which is supposed to pull together data from multiple sources. The mix shows the fund wants to strengthen the system's record-keeping, analytics, and service layers at the same time.

• SISZL — support services for insured people, including notifications and monitoring pathways.
• US — the module for overseeing volumes of medical care and financial planning.
• TsMP — the patient's digital medical profile, integrating data from multiple sources.
• FERZL — the unified federal register of insured persons.
• FPUMP — the subsystem for personalized records of medical care provided.

How the rollout will work

The number of requests shows the scale of the project. The first contract calls for processing 84 requests for SISZL, 43 for the US subsystem, and 5 for TsMP. The second covers 76 requests for FERZL and 48 for FPUMP. That means the rollout won't happen in a single wave but as a series of separate launches tailored to requests from regions and organizations. Any request received no later than three months before the final deadline must be fulfilled.

Contractors won't just install the modules — they'll have to get them running in real-world infrastructure. The technical specifications explicitly include webinars and training sessions for staff, management of user accounts and access rights, and adapting processes to the specifics of each region. For FERZL, this may mean configuring the algorithms that assign insured people to medical organizations; for FPUMP, refining medical service catalogs, rules for calculating the cost of care, and medical-economic review workflows.

What changes for patients

For ordinary people, the most visible part of the project isn't the registers but proactive outreach. The SISZL subsystem is meant to support people with chronic conditions and those due for routine health screenings. As part of the rollout, contractors will set up follow-up monitoring pathways, reconcile patient lists, and generate tasks for personalized notifications via Gosuslugi. Insured adults will be able to receive more accurate reminders about preventive care, checkups, and services they've already received.

The fund is also budgeting separately for the patient's digital medical profile. This subsystem is supposed to collect and validate large volumes of data on medical care to build a more complete personal data picture. Against that backdrop, the AI component in the US subsystem stands out: in two pilot regions, the system will calculate risk profiles for insured individuals. If the pilot delivers results, OMS will gain a tool that may help spot problem cases earlier, plan preventive care more precisely, and keep tighter control over spending.

What it means

Russia's OMS system is shifting away from being a big database of registers and payments toward a more active data-management model. If the rollout goes to plan, the fund will get not only upgraded IT infrastructure but also a foundation for using AI in the insurance system as a working tool for preventive care, patient routing, and cost control.